talks
Invited Talks
S. W. Chung, Lawrence Livermore National Laboratory, (2024)
J. B. Freund, & S. W. Chung, Lawrence Livermore National Laboratory, (2021)
S. W. Chung, Fluid Mechanics Seminar, University of Illinois at Urbana-Champaign, (2020)
S. W. Chung, Sandia National Laboratories, (2017)
Conferences
S. W. Chung, Y. Choi, P. Roy, T. Roy, T. Moore, T. Y. Lin, & S. E. Baker, "Train Small, Model Big: Scalable Robust Physics Simulator via Reduced Order Modeling and Domain Decomposition," 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics, (2024)
D. Chakraborty, S. W. Chung, & R. Maulik, "Divide and Conquer: Improved Training of Neural Ordinary Differential Equations Through Time-domain Splitting," 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics, (2024)
S. W. Suh, S. W. Chung, & Y. Choi, "On-the-fly Dynamic Mode Decomposition," 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics, (2024)
D. Chakraborty, S. W. Chung, & R. Maulik, "Divide and Conquer: Improved Training of Neural Ordinary Differential Equations Through Time-domain Splitting," SIAM Conference on Mathematics of Data Science, (2024)
S. W. Suh, S. W. Chung, T. Bremer, & Y. Choi, "Accelerating Flow Simulations using Online Dynamic Mode Decomposition," NeurIPS 2023 Workshop on the Machine Learning and the Physical Sciences, (2023)
P.-H. Tsai, S. W. Chung, D. Ghosh, J. Loffeld, Y. Choi, & J. L. Belof, "Accelerating Kinetic Simulations of Electrostatic Plasmas with Reduced-Order Modeling," NeurIPS 2023 Workshop on the Machine Learning and the Physical Sciences, (2023)
S. W. Chung, Y. Choi, P. Roy, T. Roy, T. Moore, T. Y. Lin, & S. E. Baker, "Scalable physics-guided data-driven component model reduction for Stokes flow," NeurIPS 2023 Workshop on the Machine Learning and the Physical Sciences, (2023)
S. W. Chung, T. A. Oliver, L. L. Raja, & R. D. Moser, "Characterization of uncertainties in electron-argon collision cross sections under statistical principles," Bulletin of the American Physical Society, 67, (2022)
S. W. Chung, & J. B. Freund, "Finding an optimal flow control with multi-point penalty method," Bulletin of the American Physical Society, 67, (2022)
S. W. Chung, & J. B. Freund, "Multi-point augmented Lagrangian optimization for chaotic flows," SIAM Conference on Computational Science and Engineering, (2021)
S. W. Chung, & J. B. Freund, "Multi-point penalty-based optimization for optimal control of chaotic turbulent flow," Bulletin of the American Physical Society, 66, (2021)
S. W. Chung, & J. B. Freund, "Multi-point augmented Lagrangian optimization for chaotic flows," Bulletin of the American Physical Society, 65, (2020)
S. W. Chung, S. D. Bond, E. C. Cyr, & J. B. Freund, "Sensitivity analysis in particle-in-cell methods," SIAM Conference on Computational Science and Engineering, (2019)
S. W. Chung, S. D. Bond, E. C. Cyr, & J. B. Freund, "Regular sensitivity computation avoiding chaotic effects in particle-in-cell plasma methods," International Conference on Numerical Simulation of Plasmas, (2019)
S. W. Chung, & J. B. Freund, "Adjoint-based analysis of controllability of turbulent jet noise," Bulletin of the American Physical Society, 64, (2019)
S. W. Chung, R. Vishnampet, D. Bodony, & J. B. Freund, "Adjoint-based sensitivity of jet noise to near-nozzle forcing," Bulletin of the American Physical Society, 62, (2017)